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Question #41094

Difficulty: 8/10 | 🟢 Free

The Question

Let A=[aij]A = [a_{ij}] be a 3×33 \times 3 matrix where each entry aija_{ij} (1≤i,j≤31 \le i, j \le 3) is an independent random variable uniformly distributed in the interval [−1,2][-1, 2]. If D=det⁡(A)D = \det(A), then the variance of DD is:

Options

  • A.

    8116\frac{81}{16}

  • B.

    274\frac{27}{4}

  • C.

    6

  • D.

    92\frac{9}{2}

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Correct Answer

Step-by-Step Solution

Explanation

How the Examiner Thinks

Specialist

Targeted practice for niche, high-difficulty concepts that frequently appear in JEE Advanced exams.

Concepts Behind This Question

Random Variable Mapping|Determinant Product Rule|Row/Column Exchange Parity

Why This Question Is Tricky

Common Mistakes

This question tests the interaction between determinant properties and the linearity of expectation.

The primary trap is 'Row/Column Exchange Parity'.

Students often incorrectly assume that the variance of a determinant is simply the sum of the variances of its individual permutation products (yielding 6), ignoring the covariance cross-terms.

Even when cross-terms are considered, students frequently overlook the negative signs introduced by odd permutations (transpositions), effectively calculating the variance of the permanent instead (yielding 27/4).

Additionally, a common oversight is failing to recognize that E[det⁡(A)]=0E[\det(A)] = 0 despite the mean of the entries being non-zero, due to the exact cancellation of symmetric positive and negative permutation expectations.

Quick Facts About This Question

Question Information

SubjectMathematics
ChapterProbability - Class 11
ConceptRandom Variable Mapping
Difficulty8
Cognitive Load7
Target Solve Time160 sec
AccessFree